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    Moodle is an open-source Learning Management System (LMS) that provides educators with the tools and features to create and manage online courses. It allows educators to organize course materials, create quizzes and assignments, host discussion forums, and track student progress. Moodle is highly flexible and can be customized to meet the specific needs of different institutions and learning environments.

    Moodle supports both synchronous and asynchronous learning environments, enabling educators to host live webinars, video conferences, and chat sessions, as well as providing a variety of tools that support self-paced learning, including videos, interactive quizzes, and discussion forums. The platform also integrates with other tools and systems, such as Google Apps and plagiarism detection software, to provide a seamless learning experience.

    Moodle is widely used in educational institutions, including universities, K-12 schools, and corporate training programs. It is well-suited to online and blended learning environments and distance education programs. Additionally, Moodle's accessibility features make it a popular choice for learners with disabilities, ensuring that courses are inclusive and accessible to all learners.

    The Moodle community is an active group of users, developers, and educators who contribute to the platform's development and improvement. The community provides support, resources, and documentation for users, as well as a forum for sharing ideas and best practices. Moodle releases regular updates and improvements, ensuring that the platform remains up-to-date with the latest technologies and best practices.

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Available courses

Preface of the course:

Mathematical modeling and solution on digital computers is the only practical approach to systems analysis and planning studies for a modern day power system with its large size, complex and integrated nature. The stage has, therefore, been reached where an undergraduate must be trained in the latest techniques of analysis of large-scale power systems. A similar need also exists in the industry where a practicing power system engineers constantly faced with the challenge of the rapidly advancing field. The student is expected to have a prior grounding in circuit theory and electrical machines. The student should also have been exposed to Laplace transform, linear differential equations, optimization techniques and a first course in control theory. Students can be asked to pool the various programs for more advanced and sophisticated studies, e .g. optimal scheduling. An important novel feature of the course is the inclusion of the latest and practically useful topics like unit commitment, generation reliability, optimal thermal scheduling, optimal hydro-thermal scheduling and decoupled load flow in a text which is primarily meant for undergraduate. The introductory units contain a discussion on various methods of electrical energy generation and their techno-economic comparison. A glimpse is given into the future of electrical energy. The student is also exposed to the Indian power scenario.

It also addresses compensation in power systems. Both series and shunt compensation of lines have been thoroughly discussed. Concepts of SVS, STATCOM and FACTS have been briefly introduced.

Preface of the course For Electrical:

This Course is mainly explain the basic Concepts of AC & DC Circuits, Electrical machines, Measurements, Generation of electrical energy , Tariff, Safety Precautions and some simple problems.

Course Status : Ongoing
Course Type : Core
Duration : 17 weeks
Category :
  • Electrical, Electronics and Communications Engineering
Credit Points : 3
Level : Undergraduate
Start Date : 06 AUG 2024
End Date : 31 Dec 2024

Summary
Course Status : Upcoming
Course Type : Elective
Duration : 12 weeks
Category :
  • Computer Science and Engineering
  • Artificial Intelligence
  • Data Science
Credit Points : 3
Level : Undergraduate
Start Date : 22 Jul 2024
End Date : 11 Oct 2024
Enrollment Ends : 29 Jul 2024
Exam Registration Ends : 16 Aug 2024
Exam Date : 26 Oct 2024 IST

About the course:

For an autonomous agent to behave in an intelligent manner it must be able to solve problems. This means it should be able to arrive at decisions that transform a given situation into a desired or goal situation. The agent should be able to imagine the consequence of its decisions to be able to identify the ones that work. In this first course on AI we study a wide variety of search methods that agents can employ for problem solving. 
In a follow up course – AI: Knowledge Representation and Reasoning – we will go into the details of how an agent can represent its world and reason with what it knows. These two courses should lay a strong foundation for artificial intelligence, which the student can build upon. A third short course – AI: Constraint Satisfaction Problems – presents a slightly different formalism for problem solving, one in which the search and reasoning processes mentioned above can operate together.
Course layout:
 
Books & References:
 
 

Course Status : Upcoming
Course Type : Elective
Duration : 12 weeks
Category :
  • Theorems
  • Applications
Credit Points : 3
Level : Postgraduate
Start Date : 22 Jul 2024
End Date : 11 Oct 2024
Enrollment Ends : 29 Jul 2024
Exam Registration Ends : 16 Aug 2024
Exam Date : 03 Nov 2024 IST